Verilay Blog

The Background Job in Your AI-Built App That Could Delete Every User's Data ↗

The riskiest parts of an AI-built app are often the ones with no screen — background jobs and scheduled tasks. Here's a real one, and how to check yours.

Can You Trust an AI-Built App with Real User Data? ↗

When can you safely go solo with a Lovable or Replit app, and when should you get a second opinion before trusting it with real user data?

3 Ways Non-Developers Can Test AI-Generated Software ↗

Three no-code testing tricks to stress-test your AI-built app before launch: the double-submit test, the malicious-input test, and the mobile audit.

Beyond the Prompt: How to Make Sure Your AI-Built App Actually Works ↗

A jargon-free guide to testing your AI-built app: the 'try to break it' method, what production-ready really means, and when a human second opinion is worth it.

I Built an App with AI… Now What? The 4-Step Checklist Before You Launch ↗

The non-developer checklist before you launch: the fake-identity test, the chaos test, the device reality check, and a launch safety net.

I Ran My Own Security Tool on My Own App — and Got a Different Grade Every Time ↗

My own tool gave my own app a different grade every time. What inconsistent AI scoring taught me — and how I fixed it.

How I Built a Security Tool Without Being a Developer ↗

The technical journey — Flask, Claude API, smart file selection, and the false positive problem.

Why Advise Not Fix Is the Only Safe Approach for Non-Developer Security ↗

Three real conversations that proved the model and what the B grade actually means.

How Evident-AI Went From C to B

Two real vulnerabilities, one false positive, three advice conversations with Replit. Zero broken features.